Internship Management Consulting - Data Science/Data Analytics (m/f/d)

WELCOME TO BASF

Welcome to the global management consultancy of BASF! We focus on strategic projects that drive the effective transformation of our businesses. Our teams work on a broad range of topics such as sustainability, organizational development, efficiency projects, M&A, and profitable growth through all types of innovation.
We put people first: We are proud of our strong team spirit, and we cherish diversity. Become part of a great international team where your hands-on approach and desire to leave an impact are truly valued. Together, let’s create new ideas and offer the best solutions to our customers.

WHAT YOU CAN EXPECT

From Januar 2027 on you are part of our Management Consulting department for a period of 3 - 6 months. The Management Consulting is a team that gives advice to the BASF group and its business units in the field of general management and is therefore actively supporting the change processes of BASF.

• As a full member of the team, you are involved in the preparation, coordination, and implementation of consulting projects for BASF management.


• You gain exposure to a broad range of topics such as strategy, marketing, organizational design, business optimization, and transformation initiatives.


• Furthermore, you support the Data Analytics team of our in-house consulting unit and work on data-driven and AI-supported solutions for consulting projects.


• You realize sophisticated analyses and develop specific tools and applications that support our consultants in their projects, including the use of modern technologies and data-driven approaches.

WHAT YOU OFFER

• currently enrolled in an advanced degree program in Business, Data Science, Computer Science, Engineering, or a comparable field of study


• ideally first relevant work experience in an international business consultancy, analytics, or a similar environment


• knowledge of data management, data analysis, and data science; knowledge of data visualization tools (e.g., Power BI, Dash) is a plus


• proficiency in Python programming and first experience with frontend frameworks like Streamlit or similar technologies


• experience with Large Language Models (LLMs) or initial exposure to AI based applications (e.g., via projects, coursework, or practical use cases)


• structured and analytical way of working combined with a hands-on mindset and curiosity for new technologies


• fluent English skills; German is a plus

WHAT WE OFFER

• Practical phase - actively apply theory in challenging and varied tasks/projects


• Teambuddy - contact person for all questions and regular feedback


• Networks - get to know different perspectives, ways of thinking and fields of work


• Internship compensation - a recognition of the commitment, more information you will find here


• Flexible working hours - depending on the location and area of work

HOW TO REACH US

• Annika Höhn (Talent Acquisition), [email protected], Tel: +49 30 2005-58420 will be happy to answer your questions for this position.


• You can also reach our recruiting team here.


• First information about our application process can be found here.

ABOUT US

BASF SE, located in Ludwigshafen am Rhein, is the corporate headquarters of the BASF Group and part of the Rhine-Neckar Metropolitan Region. BASF stands for competence in chemistry since 1865 and is represented today in the world's major consumer markets, with a wide range of products. As the largest employer in the region, BASF SE offers multiple career opportunities for students, university graduates and professionals providing also training in over 30 professions. Leisure, sports, culture and a good infrastructure characterize the Rhine-Neckar Metropolitan Region, in which BASF is also involved with numerous activities. Learn more about BASF SE here.

Diversity is our greatest strength!

Become a part of our winning formula for success and develop the future with us - in a global team that embraces inclusion and equal opportunities irrespective of gender, age, origin, sexual orientation, disability or belief.